Hiring for Role: Senior Data Architect | Treasure Data/CDP + Snowflake + Databri

About this role

Role: Senior Data Architect
Location: CA (Remote)
Duration: 12+ Months
Experience: 15+ Years
Job Description
We are looking for a 10+ years experienced Senior Data Architect for a contract role.

• Must have strong hands-on ETL/ELT, Python, SQL, and Enterprise Data Warehousing experience.

• AI/Generative AI data engineering experience is strongly required— RAG, vector databases, LangChain/LangGraph, AI Agents, Azure OpenAI, AWS Bedrock, etc.

• We are specifically interested in candidates who understand how enterprise data platforms support modern AI/ML and Generative AI applications.

• Treasure Data / Treasure Data CDP experience is a key requirement — please prioritize candidates with real production experience.

• Strong experience with real-time analytics, event-driven architecture, and streaming data pipelines.

• Hands-on Apache Kafka experience is highly preferred.

• Experience with Snowflake, Databricks, or equivalent cloud data platforms.

• Strong experience with AWS, Azure, or GCP data engineering services.

• CDC or Debezium and incremental data processing experience is required.

• Candidate should have experience designing batch + real-time enterprise data architectures.

• Experience building AI-ready data pipelines / semantic search / RAG infrastructure will be a major plus.

• Please do not submit traditional ETL/BI only profiles.

Specific Ask: Please submit candidates who have Treasure Data + Real-Time Analytics + Enterprise
ETL/Data Warehouse experience, ideally combined with Kafka and Generative AI.
Please provide Yes/No + years of experience for each:

• Does the candidate have 10+ years of Data Engineering / Data Architecture experience?

• Does the candidate have strong hands-on ETL/ELT, Python, and SQL experience?

• Does the candidate have enterprise Data Warehouse / Lakehouse experience?

• Does the candidate have hands-on Treasure Data / Treasure Data CDP experience?

• How many years of Treasure Data experience does the candidate have?

• Does the candidate have real-time analytics / streaming experience?

• Does the candidate have hands-on Apache Kafka experience?

• Does the candidate have CDC / Debezium experience?

• Does the candidate have strong Snowflake or Databricks experience?

• Does the candidate have experience designing cloud data architectures on AWS, Azure, or GCP?

• Does the candidate have Generative AI data engineering experience?

• Does the candidate have experience building RAG or vector-search pipelines?

• Does the candidate have experience with LangChain, LangGraph, LlamaIndex, or AI Agents?

•
Does the candidate have experience integrating enterprise data with Azure OpenAI, AWS

Bedrock, Vertex AI, Databricks Mosaic AI, or Snowflake Cortex?

•
Has the candidate personally designed and implemented production-grade data architecture,

rather than only maintaining existing ETL jobs?

All your information will be kept confidential according to EEO guidelines.
Originally posted on Himalayas